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2 years of PTI with the economy

As PTI comes onto two years, I felt like making this post on account of seeing multiple people supporting PML-N for having an allegedly better economy for Pakistan, particularly with allegations present that PTI has done nothing for the economy. So here's a short list of some major achievements done by PTI in contrast to PML-N.
This is by no means a highly comprehensive list, just my opinion on some of the bigger achievements; saving the economy from defaulting, adopting tax reforms, tourism reforms, export reforms among them whilst managing covid and economic stability with relative success.
There are of course a multitude of other factors, successfully avoiding a blacklist from the FATF, macroeconomic reforms, attempts to strengthen the working class; ehsaas programs, Naya Pakistan housing schemes alongside other relief efforts. These are measures in accordance with curtailing the effect of increasing taxation and attempts to abate the economic slowdown that came as a result of forcing an increase in government revenue. Alongside the focus on multiple new hydroelectric dams, industrial cities, reduction of the PM office staff from 552 to 298, 10 billion tree project and an overall renewed interest in renewable energy and green Pakistan. The list is comprehensive.
Pakistan remains on a rocky path, it is not out of the woods yet. Covid-19 has seriously hampered the overall projections, and caused a worldwide economic contraction. Not only that, but there are criticisms that can be attributed to the government as well, as they are not without fault. However, the overall achievements of the government with regards to the economy do present hope for the long-term fiscal policy and development of Pakistan.
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Your Pre Market Brief for 07/16/2020

Pre Market Brief for Thursday July 16th 2020

You can subscribe to the daily 4:00 AM Pre Market Brief on The Twitter Link Here . Alerts in the tweets will direct you to the daily 4:00 AM Pre Market Brief in this sub.
Updated as of 4:45 AM EST
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Stock Futures:
Wednesday 07/15/2020 News and Markets Recap:
Thursday July 16th 2020 Economic Calendar (All times are in EST)
(JOBLESS CLAIMS TODAY)
News Heading into Thursday July 16th 2020:
NOTE: I USUALLY (TRY TO) POST MANY OF THE MOST PROMISING, DRAMATIC, OR BAD NEWS OVERNIGHT STORIES THAT ARE LIKELY IMPORTANT TO THE MEMBERS OF THIS SUB AT THE TOP OF THIS LIST. PLEASE DO NOT YOLO THE VARIOUS TICKERS WITHOUT DOING RESEARCH! THE TIME STAMPS ON THESE MAY BE LATER THAN OTHERS ON THE WEB.
Upcoming Earnings:
Commodities:
COVID-19 Stats and News:
Macro Considerations:
Most Recent SEC Filings
Other
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Morning Research and Trading Prep Tool Kit
Other Useful Resources:
The Ultimate Quick Resource For the Amateur Trader.
Subscribe to This Brief and the daily 4:00 AM Pre Market Brief on The Twitter Link Here . Alerts in the tweets will direct you to the daily brief in this sub
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Wall Street Week Ahead for the trading week beginning September 14th, 2020

Good Friday evening to all of you here on StockMarket. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning September 14th, 2020.

Investors will look to the Fed to soothe the market next week, but that may be a tall order - (Source)

Markets are looking to the Federal Reserve to be a soothing force when it meets in the week ahead, but stocks could remain choppy if the central bank disappoints and as investors focus on the election and the economic recovery.
The Fed’s two-day meeting is expected to end Wednesday with minor tweaks to its statement and some clarity on how it plans to use forward guidance. The Fed also updates its economic and interest rate outlook, including forecasts for 2023 for the first time.
But Quincy Krosby, chief investment strategist at Prudential Financial, said the stock market could easily be disappointed because the Fed is unlikely to offer more clarity on monetary policy, such as plans for bond buying.
“The market is concerned the Fed is not going to give us explicit readings on their plans for monetary policy,″ she said. The Fed’s extraordinary policies have been an important factor behind the stock market’s 50% surge from the March 23 low, and it’s also seen as a major factor limiting the depth of the market’s sell-off.
Peter Boockvar, chief investment officer at Bleakley Advisory Group, said the Fed is not likely to tweak much and it continues to buy $80 billion a month in Treasurys. “I don’t think they’ll do anything to the markets either way,” he said.
Stocks were volatile in the past week, falling hard, rallying, falling and rallying again. That left the S&P 500 with a weekly decline of about 2.5%, its worst week since June. The harder hit Nasdaq was down about 4.1% for the week, its worst weekly decline since March. The quadruple expiration of options and futures at the end of the coming week could add to the volatility.
Bank of America strategists said the bond market is watching the Fed for any balance sheet adjustments and the changes to its forward guidance, which includes the Fed’s recent tweak in its inflation policy. The Fed changed its policy of focusing on a target inflation rate to an average rate, meaning it may not tighten policy if inflation overshoots its 2% target.
“We see risk the rates market is underwhelmed by the guidance provided by the Fed, which would support higher back-end rates and a steeper curve,” the Bank of America strategists noted. The benchmark 10-year Treasury yield slid in the past week, touching 0.67% Friday, and it could move higher, meaning bonds may sell-off, if the Fed does not clarify policy around its bond buying program.
Krosby said the stock market is hoping for a dovish Fed. “The market needs that now because fiscal policy is going nowhere,” she said.
BTIG strategist Julian Emanuel said the market could focus on the fact that Congress failed to make headway on fiscal stimulus, if the economic data begins to disappoint.
Retail sales for August are expected Wednesday morning, as the Fed meets. They are expected to rise by 1%, and that should be an important look at whether the lack of enhanced unemployment benefits, which expired July 31, impacted consumer spending. Among other things, Republicans and Democrats could not agree how to replace the $600 weekly payment to the unemployed.
“Depending on the polls and the economic data, the probability of stimulus rises and falls,” said Emanuel, head of equity and derivatives strategy.
“Our view is that next week is just going to be lots of back and forth with the potential for a further extension of the range for the downside, if the political narrative gets more inflamed,” said Emanuel. Emanuel expects the market to remain choppy and fall further into the month of October, as investors worry about the uncertainty around the presidential election.
The Fed’s meeting this week is its last before the election, and analysts expect Fed Chairman Jerome Powell to sound reassuring that the Fed will do whatever it takes to support the economy. Powell holds a briefing after the meeting Wednesday, and he is expected to also be asked about the potential for higher inflation. The Fed has said it is more concerned about disinflation, but recent inflation data has been hotter than expected, though still well below 2%.
“There is a tug of war between those who say buy chips now because inflation is moving higher, versus those why are saying deflationary forces are still weaving their way into the economy,” said Krosby.
Marc Chandler, chief market strategist at Bannockburn Global Forex, said he expects the Fed to sound reassuring but it’s not likely to discuss a target for bond purchases or the yield curve controls some investors were hoping for. Yield curve control would mean the Fed would try to manage interest rates by targeting its purchases of specific Treasurys. For instance, it may focus on trying to keep longer duration yields lower, and buy the 10-year.
Chandler also noted the Fed’s $7 trillion balance sheet has recently declined by about $100 billion from its peak, and its bond purchases are falling behind the European Central Bank.
“My sense is the Fed is going to keep saying it’s not worried about inflation. Its bigger worry is downside risks. They’ll repeat their call for fiscal stimulus which after this week seems less likely,” he said.
Chandler said the stock market could remain choppy in the coming week, but he does not expect a sharp selloff. The dollar could decline, if the Fed sounds dovish, and that is a positive for stocks.
“I don’t think a 10% pullback [in Nasdaq] has caused enough pain to have people capitulate. This is just an ordinary correction, and we’re going to make new highs,” he said.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)
(CLICK HERE FOR THE CHART LINK #3!)

Election Charts You Need To See: Part 1

First off, our thoughts go out to everyone who was impacted by the tragic events of September 11, 2001—19 years ago today. It is a day to reflect and remember those who were lost.
One of the top requests we’ve had here at LPL Research is for more charts on the election. Over the next week, we will share some of our favorite charts on this very important subject.
Here’s how the S&P 500 Index performs under various presidents and congressional makeups. The best scenario has historically been a Democratic president and Republican Congress, while a Republican president and Democratic Congress has been the weakest.
(CLICK HERE FOR THE CHART!)
Building on this, a split Congress historically has been one of the best scenarios for investors.
(CLICK HERE FOR THE CHART!)
The best scenario under a Republican president is a split Congress, a potential positive for 2020 that has played out after the massive reversal in the stock market since March.
(CLICK HERE FOR THE CHART!)
Looking at the four-year presidential cycle shows that stocks haven’t been down during a year the president was up for a re-election since FDR in the 1940s, another bullish tailwind for 2020.
(CLICK HERE FOR THE CHART!)
Here’s another look at this, as stocks historically have done much better when there isn’t a lame duck president.
(CLICK HERE FOR THE CHART!)

Active Managers Do an About Face

The National Association of Active Investment Managers (NAAIM) has an index which tracks the exposure of its members to US equity markets. Each week, members are asked to provide a number that represents their exposure to markets. A reading of -200 means they are leveraged short, -100 indicates fully short, 0 is neutral, 100% is fully invested, and 200% indicates leveraged long. Two weeks ago, in our Bespoke Report, we highlighted the fact that the exposure index had moved to one of the highest levels in its 15-year history. Now, just two weeks later, these same active managers have reigned in their exposure considerably as this week's reading dropped from just under 100 to 53.1.
This week's drop was the second-largest one week decline in the index's history and just the 10th time that the index lost more than a third (33 points) in a single week. The most recent occurrence was back in early March in the middle of the Covid crash, and every other prior period where the index saw a similar drop, the S&P 500 was also down every time by an average of 2.3%. Therefore, it's not much of a surprise to see the big drop this week given the big declines in the market. But what about going forward? Do big drops in the NAAIM Index mean a bounce back for markets or further declines?
(CLICK HERE FOR THE CHART!)

The Most and Least Heavily Shorted Stocks in the Russell 1,000

Below is an updated look at the most heavily shorted stocks in the Russell 1,000. Each of these 30 stocks has at least 15% of its equity float sold short.
At the top of the list is Nordstrom (JWN) with 38.66% of its float sold short. With a YTD decline of 61.86%, the shorts have crushed it with JWN this year.
With its huge portfolio of office and retail real estate, Brookfield Property REIT(BPYU) has the second highest short interest in the Russell 1,000 at 33.7%. BPYU is down 35.7% YTD.
There are plenty of other well-known companies on the list of the most heavily shorted stocks. Examples include American Airlines (AAL), Virgin Galactic (SPCE), LendingTree (TREE), Wayfair (W), Dick's Sporting Goods (DKS), ADT, TripAdvisor (TRIP), Beyond Meat (BYND), and Kohl's (KSS).
One name that is no longer on the list of most shorted stocks is Tesla (TSLA). When we provided an update on short interest back in February (a pre-COVID world), Tesla (TSLA) had more than 17% of its float sold short, but that number is all the way down to 8.3% as of the most recent filing.
These 30 stocks with the highest short interest are down an average of 3.01% since last Wednesday (9/2) when the S&P 500 made its last closing high. That's actually a little bit better than the 3.55% average decline for the rest of the stocks in the Russell 1,000. And year-to-date, these 30 stocks are up an average of 0.60% versus an average gain of 0.81% for the rest of the index. That's not much of a difference!
(CLICK HERE FOR THE CHART!)
Below is a list of the 30 least shorted stocks in the Russell 1,000 as a percentage of equity float. None of these stocks have more than 0.71% of their float sold short, and they're mostly made up of more conservative names in the Health Care and Consumer Staples sectors.
Johnson & Johnson (JNJ) has the lowest short interest as a percentage of float in the Russell 1,000 at just 0.36%. Microsoft (MSFT) -- one of the key mega-cap Tech names -- has the second lowest short interest, followed by Merck (MRK), Eli Lilly (LLY), and Medtronic (MDT).
Somewhat surprisingly, Amazon (AMZN) is the sixth least shorted stock in the entire Russell 1,000. While AMZN is still thought of as a high-flying momentum name by many investors, its short interest levels tell a much different story, painting it as more of a non-cyclical stock like Pepsi (PEP), Procter & Gamble (PG), or Coca- Cola (KO).
While the 30 most heavily shorted stocks in the Russell 1,000 are up 0.60% YTD, the 30 least shorted stocks in the index are up much more at +8%. This group has MSFT, AMZN, HD, and AAPL to thank for that strong performance!
(CLICK HERE FOR THE CHART!)

5 Lessons Learned About Rising Rates

While the direction of the 10-year Treasury yield over the last cycle was decidedly lower, as shown in LPL’s Chart of the Day, there were still six extended periods where it rose at least 0.75%, and in two of those it rose almost 2%. Looking ahead, economic growth below potential, slack in the labor market, and an extremely supportive Federal Reserve (Fed) may limit rate pressure in the near term, but with interest rates already low and massive stimulus in place, we believe the overall direction is likely to be higher.
“Even in a falling rate period there are lessons from the last cycle about rising rates,” said LPL Financial Chief Investment Officer Burt White. “Among them: Careful when the Fed stops buying and sometimes the best defense is a good offense.”
(CLICK HERE FOR THE CHART!)
While every economic cycle is unique, the last cycle highlighted these key takeaways about periods of rising rates:
  • Careful when the Fed stops buying. The two drivers of rising rates last cycle were economic growth and Fed bond purchases, also known as quantitative easing (QE). The Fed buys bonds to keep rates down, but the start of Fed buying has actually been the time when rates rise—likely on expectations that the purchases would help strengthen the economy. These periods also often followed large rate declines either because markets anticipated the start of Fed buying or the economy was faltering. The takeaway: unless the economy is really taking off, any rising-rate period may pause for an extended period, or even reverse, when the Fed backs off bond purchases.
  • Sometime the best defense is a good offense. Lower-quality, more economically sensitive bond sectors actually performed well during periods of rising rates during the last cycle. Rate gains were largely driven by economic improvement rather than a large pick-up in inflation, and that’s typically a good environment for sectors like high-yield bonds and bank loans. The downside is that these are much riskier bond sectors and don’t provide the potential diversification benefits of higher-quality bonds during periods of stock declines.
  • Don’t expect TIPS to provide much resilience because of their inflation adjustment. Treasury Inflation-Protected Securities (TIPS) are high-quality bonds that have provided a little extra insulation against rising rates compared to similarly dated Treasuries when inflation expectations increased. TIPS prices are adjusted for inflation, but even with the adjustment, they are still very sensitive to rates.
  • Investment-grade corporates can both hurt and help. If credit spreads narrow when rates are rising, investment-grade corporates can post some solid gains in a rising-rate environment, but if spreads are holding steady or even widening, they can be very sensitive to changes in Treasury yields, potentially (although not often) even more sensitive than Treasuries.
  • Mortgage-backed securities (MBS) have not provided as much insulation as corporates, but they also have had less downside. While MBS have certainly outperformed Treasuries during periods of rising rates, they have not performed as well as investment-grade corporates. But they also have come with less downside, losing only 1.4% in their worst performing period compared to a 4% loss during the worst period for corporates. With the Fed still providing strong stimulus and economic growth potentially poised to accelerate, we currently see an increased risk of rates moving higher. We are playing some offense with our equity exposure, which allows us to emphasize a focus on higher-quality bonds. Among bond sectors, we are emphasizing MBS and still prefer investment-grade corporates over Treasuries. History may not repeat, but if it rhymes, this positioning may help add resilience to a fixed income portfolio if rates extend their move off recent lows.
With the Fed still providing strong stimulus and economic growth potentially poised to accelerate, we currently see an increased risk of rates moving higher. We are playing some offense with our equity exposure, which allows us to emphasize a focus on higher-quality bonds. Among bond sectors, we are emphasizing MBS and still prefer investment-grade corporates over Treasuries. History may not repeat, but if it rhymes, this positioning may help add resilience to a fixed income portfolio if rates extend their move off recent lows.

Best and Worst Performing Stocks Since the 9/2 High

Since the S&P 500 and Nasdaq peaked on September 2nd, we've seen rotation out of the post-COVID winners and rotation into laggards in the value space. Below we take a look at the best and worst performing stocks in the Russell 1,000 since the 9/2 high for the S&P. For each stock, we also include its YTD total return and its percentage change from the 3/23 COVID Crash low through 9/2.
Capri Holdings (CPRI) is up more than any other stock in the Russell 1,000 since 9/2 with a gain of 17.43%. Even after the recent gains, however, Capri -- the holding company for brands like Michael Kors, Jimmy Choo, and Versace -- is still down 52.9% year-to-date.
Only four other stocks are up more than 10% since 9/2 -- Beyond Meat (BYND), PVH, Virtu Financial (VIRT), and Reinsurance Group (RGA). Interestingly, BYND and VIRT are also up big (~80%) year-to-date, while PVH and RGA are both down more than 35% year-to-date.
What stands out the most about the list of winners is that only one Technology stock made the cut -- Sabre (SABR). Most names come from the two consumer sectors including cruise-liners like Carnival (CCL), Royal Caribbean (RCL) and Norwegian Cruise (NCLH), Kohl's (KSS), Williams-Sonoma (WSM), Six Flags (SIX), Foot Locker (FL), and Ralph Lauren (RL). Both UBER and LYFT also made the cut with gains of 6% since 9/2. The 30 biggest winners since 9/2 are still down an average of 20% year-to-date, while the rest of the stocks in the Russell 1,000 are up an average of 1.46% YTD.
(CLICK HERE FOR THE CHART!)
While only one Technology stock made the list of biggest winners since 9/2, the sector accounts for two-thirds of the 30 biggest losers over the same time frame. As shown below, since 9/2, the six worst performing stocks in the Russell 1,000 and ten of the worst twelve all come from Tech. Notably, though, these 30 stocks that have all fallen more than 12% since 9/2 are still up an average of 5.6% YTD. Were it not for the horrid YTD performance of the Energy stocks that made the list, the average YTD gain would be even higher.
(CLICK HERE FOR THE CHART!)

Typical Early September Weakness Recovers Mid-Month Sells Off Month-End

As of yesterday’s close the market was down more than the historical average performance in September. DJIA was down nearly -3.3%, S&P 500 was down -4.8%, NASDAQ was off 7.9%, Russell 1000 was down -5.2% and Russell 2000 lost 3.7%. Today’s rally looks like the beginning of a textbook mid-month recovery rally However, the second half of September has historically been weaker than the first half. The week after options expiration week can be treacherous with S&P 500 logging 23 weekly losses in 30 years since 1990. End-of-quarter portfolio restructuring, and window dressing can amplify the impacts of any negative headlines.
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending September 11th, 2020

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 9.13.20

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET POSTED!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $FDX
  • $ADBE
  • $CBRL
  • $ASPU
  • $LEN
  • $DAVA
  • $BRC
  • $CMD
  • $ISR
  • $APOG
  • $ICMB
  • $HMY
  • $VNCE
  • $CSBR
  • $EARS
  • $AFIB
  • $OSH
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 9.14.20 Before Market Open:

([CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Monday 9.14.20 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 9.15.20 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 9.15.20 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 9.16.20 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 9.16.20 After Market Close:

([CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Thursday 9.17.20 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 9.17.20 After Market Close:

([CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Friday 9.18.20 Before Market Open:

([CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Friday 9.18.20 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

FedEx Corp. $232.79

FedEx Corp. (FDX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $2.54 per share on revenue of $17.46 billion and the Earnings Whisper ® number is $2.78 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 16.72% with revenue increasing by 2.42%. Short interest has decreased by 15.4% since the company's last earnings release while the stock has drifted higher by 46.5% from its open following the earnings release to be 54.3% above its 200 day moving average of $150.90. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 28, 2020 there was some notable buying of 3,504 contracts of the $250.00 call expiring on Friday, September 18, 2020. Option traders are pricing in a 10.7% move on earnings and the stock has averaged a 7.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Adobe Inc. $471.35

Adobe Inc. (ADBE) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $2.41 per share on revenue of $3.15 billion and the Earnings Whisper ® number is $2.47 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat The company's guidance was for earnings of approximately $2.40 per share. Consensus estimates are for year-over-year earnings growth of 12.62% with revenue increasing by 11.15%. Short interest has decreased by 14.1% since the company's last earnings release while the stock has drifted higher by 15.2% from its open following the earnings release to be 25.2% above its 200 day moving average of $376.45. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, August 27, 2020 there was some notable buying of 18,006 contracts of the $455.00 put expiring on Friday, September 25, 2020. Option traders are pricing in a 12.5% move on earnings and the stock has averaged a 6.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Cracker Barrel Old Country Store, Inc. $136.79

Cracker Barrel Old Country Store, Inc. (CBRL) is confirmed to report earnings at approximately 8:00 AM ET on Tuesday, September 15, 2020. The consensus estimate is for a loss of $0.55 per share on revenue of $483.68 million and the Earnings Whisper ® number is ($0.49) per share. Investor sentiment going into the company's earnings release has 28% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 120.37% with revenue decreasing by 38.55%. Short interest has decreased by 2.1% since the company's last earnings release while the stock has drifted higher by 30.0% from its open following the earnings release to be 12.5% above its 200 day moving average of $121.64. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, August 27, 2020 there was some notable buying of 1,012 contracts of the $190.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 10.6% move on earnings and the stock has averaged a 2.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Aspen Group, Inc. $11.54

Aspen Group, Inc. (ASPU) is confirmed to report earnings at approximately 4:00 PM ET on Monday, September 14, 2020. The consensus estimate is for a loss of $0.04 per share on revenue of $14.26 million and the Earnings Whisper ® number is ($0.03) per share. Investor sentiment going into the company's earnings release has 49% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 63.64% with revenue increasing by 37.67%. Short interest has increased by 56.8% since the company's last earnings release while the stock has drifted higher by 16.0% from its open following the earnings release to be 32.3% above its 200 day moving average of $8.72. The stock has averaged a 11.1% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Lennar Corp. $77.48

Lennar Corp. (LEN) is confirmed to report earnings at approximately 4:35 PM ET on Monday, September 14, 2020. The consensus earnings estimate is $1.51 per share on revenue of $5.33 billion and the Earnings Whisper ® number is $1.67 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 5.03% with revenue decreasing by 9.00%. Short interest has decreased by 16.5% since the company's last earnings release while the stock has drifted higher by 20.2% from its open following the earnings release to be 29.6% above its 200 day moving average of $59.78. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 8.4% move on earnings and the stock has averaged a 2.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Endava $53.03

Endava (DAVA) is confirmed to report earnings at approximately 7:20 AM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $0.19 per share on revenue of $107.96 million and the Earnings Whisper ® number is $0.22 per share. Investor sentiment going into the company's earnings release has 33% expecting an earnings beat The company's guidance was for earnings of $0.18 to $0.20 per share on revenue of $105.00 million to $106.00 million. Consensus estimates are for earnings to decline year-over-year by 26.92% with revenue increasing by 9.61%. Short interest has increased by 56.2% since the company's last earnings release while the stock has drifted higher by 11.1% from its open following the earnings release to be 12.7% above its 200 day moving average of $47.06. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 6.7% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Brady Corp. $45.34

Brady Corp. (BRC) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, September 16, 2020. The consensus earnings estimate is $0.55 per share on revenue of $260.00 million and the Earnings Whisper ® number is $0.56 per share. Investor sentiment going into the company's earnings release has 31% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 19.12% with revenue decreasing by 11.95%. Short interest has decreased by 37.3% since the company's last earnings release while the stock has drifted higher by 0.6% from its open following the earnings release to be 7.5% below its 200 day moving average of $49.01. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Cantel Medical Corp. $49.12

Cantel Medical Corp. (CMD) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, September 17, 2020. The consensus earnings estimate is $0.08 per share on revenue of $232.80 million and the Earnings Whisper ® number is $0.09 per share. Investor sentiment going into the company's earnings release has 39% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 87.30% with revenue decreasing by 2.79%. Short interest has decreased by 19.9% since the company's last earnings release while the stock has drifted higher by 4.5% from its open following the earnings release to be 3.7% below its 200 day moving average of $51.02. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 17.8% move on earnings and the stock has averaged a 7.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

IsoRay Inc $0.63

IsoRay Inc (ISR) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, September 17, 2020. The consensus estimate is for a loss of $0.01 per share on revenue of $2.77 million. Investor sentiment going into the company's earnings release has 25% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 50.00% with revenue increasing by 43.97%. Short interest has decreased by 26.8% since the company's last earnings release while the stock has drifted lower by 33.7% from its open following the earnings release to be 6.7% below its 200 day moving average of $0.68. Overall earnings estimates have been unchanged since the company's last earnings release. The stock has averaged a 8.2% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Apogee Enterprises, Inc. $19.49

Apogee Enterprises, Inc. (APOG) is confirmed to report earnings at approximately 6:30 AM ET on Thursday, September 17, 2020. The consensus earnings estimate is $0.34 per share. Investor sentiment going into the company's earnings release has 19% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 52.78% with revenue increasing by 179.79%. Short interest has decreased by 4.7% since the company's last earnings release while the stock has drifted lower by 7.2% from its open following the earnings release to be 23.9% below its 200 day moving average of $25.63. Option traders are pricing in a 10.1% move on earnings and the stock has averaged a 10.4% move in recent quarters.

(CLICK HERE FOR THE CHART!)

DISCUSS!

What are you all watching for in this upcoming trading week?
I hope you all have a wonderful weekend and a great trading week ahead StockMarket.
submitted by bigbear0083 to StockMarket [link] [comments]

Wall Street Week Ahead for the trading week beginning September 14th, 2020

Good Saturday morning to all of you here on smallstreetbets. I hope everyone on this sub made out pretty nicely in the market this past week, and is ready for the new trading week ahead.
Here is everything you need to know to get you ready for the trading week beginning September 14th, 2020.

Investors will look to the Fed to soothe the market next week, but that may be a tall order - (Source)

Markets are looking to the Federal Reserve to be a soothing force when it meets in the week ahead, but stocks could remain choppy if the central bank disappoints and as investors focus on the election and the economic recovery.
The Fed’s two-day meeting is expected to end Wednesday with minor tweaks to its statement and some clarity on how it plans to use forward guidance. The Fed also updates its economic and interest rate outlook, including forecasts for 2023 for the first time.
But Quincy Krosby, chief investment strategist at Prudential Financial, said the stock market could easily be disappointed because the Fed is unlikely to offer more clarity on monetary policy, such as plans for bond buying.
“The market is concerned the Fed is not going to give us explicit readings on their plans for monetary policy,″ she said. The Fed’s extraordinary policies have been an important factor behind the stock market’s 50% surge from the March 23 low, and it’s also seen as a major factor limiting the depth of the market’s sell-off.
Peter Boockvar, chief investment officer at Bleakley Advisory Group, said the Fed is not likely to tweak much and it continues to buy $80 billion a month in Treasurys. “I don’t think they’ll do anything to the markets either way,” he said.
Stocks were volatile in the past week, falling hard, rallying, falling and rallying again. That left the S&P 500 with a weekly decline of about 2.5%, its worst week since June. The harder hit Nasdaq was down about 4.1% for the week, its worst weekly decline since March. The quadruple expiration of options and futures at the end of the coming week could add to the volatility.
Bank of America strategists said the bond market is watching the Fed for any balance sheet adjustments and the changes to its forward guidance, which includes the Fed’s recent tweak in its inflation policy. The Fed changed its policy of focusing on a target inflation rate to an average rate, meaning it may not tighten policy if inflation overshoots its 2% target.
“We see risk the rates market is underwhelmed by the guidance provided by the Fed, which would support higher back-end rates and a steeper curve,” the Bank of America strategists noted. The benchmark 10-year Treasury yield slid in the past week, touching 0.67% Friday, and it could move higher, meaning bonds may sell-off, if the Fed does not clarify policy around its bond buying program.
Krosby said the stock market is hoping for a dovish Fed. “The market needs that now because fiscal policy is going nowhere,” she said.
BTIG strategist Julian Emanuel said the market could focus on the fact that Congress failed to make headway on fiscal stimulus, if the economic data begins to disappoint.
Retail sales for August are expected Wednesday morning, as the Fed meets. They are expected to rise by 1%, and that should be an important look at whether the lack of enhanced unemployment benefits, which expired July 31, impacted consumer spending. Among other things, Republicans and Democrats could not agree how to replace the $600 weekly payment to the unemployed.
“Depending on the polls and the economic data, the probability of stimulus rises and falls,” said Emanuel, head of equity and derivatives strategy.
“Our view is that next week is just going to be lots of back and forth with the potential for a further extension of the range for the downside, if the political narrative gets more inflamed,” said Emanuel. Emanuel expects the market to remain choppy and fall further into the month of October, as investors worry about the uncertainty around the presidential election.
The Fed’s meeting this week is its last before the election, and analysts expect Fed Chairman Jerome Powell to sound reassuring that the Fed will do whatever it takes to support the economy. Powell holds a briefing after the meeting Wednesday, and he is expected to also be asked about the potential for higher inflation. The Fed has said it is more concerned about disinflation, but recent inflation data has been hotter than expected, though still well below 2%.
“There is a tug of war between those who say buy chips now because inflation is moving higher, versus those why are saying deflationary forces are still weaving their way into the economy,” said Krosby.
Marc Chandler, chief market strategist at Bannockburn Global Forex, said he expects the Fed to sound reassuring but it’s not likely to discuss a target for bond purchases or the yield curve controls some investors were hoping for. Yield curve control would mean the Fed would try to manage interest rates by targeting its purchases of specific Treasurys. For instance, it may focus on trying to keep longer duration yields lower, and buy the 10-year.
Chandler also noted the Fed’s $7 trillion balance sheet has recently declined by about $100 billion from its peak, and its bond purchases are falling behind the European Central Bank.
“My sense is the Fed is going to keep saying it’s not worried about inflation. Its bigger worry is downside risks. They’ll repeat their call for fiscal stimulus which after this week seems less likely,” he said.
Chandler said the stock market could remain choppy in the coming week, but he does not expect a sharp selloff. The dollar could decline, if the Fed sounds dovish, and that is a positive for stocks.
“I don’t think a 10% pullback [in Nasdaq] has caused enough pain to have people capitulate. This is just an ordinary correction, and we’re going to make new highs,” he said.

This past week saw the following moves in the S&P:

(CLICK HERE FOR THE FULL S&P TREE MAP FOR THE PAST WEEK!)

Major Indices for this past week:

(CLICK HERE FOR THE MAJOR INDICES FOR THE PAST WEEK!)

Major Futures Markets as of Friday's close:

(CLICK HERE FOR THE MAJOR FUTURES INDICES AS OF FRIDAY!)

Economic Calendar for the Week Ahead:

(CLICK HERE FOR THE FULL ECONOMIC CALENDAR FOR THE WEEK AHEAD!)

Percentage Changes for the Major Indices, WTD, MTD, QTD, YTD as of Friday's close:

(CLICK HERE FOR THE CHART!)

S&P Sectors for the Past Week:

(CLICK HERE FOR THE CHART!)

Major Indices Pullback/Correction Levels as of Friday's close:

(CLICK HERE FOR THE CHART!

Major Indices Rally Levels as of Friday's close:

(CLICK HERE FOR THE CHART!)

Most Anticipated Earnings Releases for this week:

(CLICK HERE FOR THE CHART!)

Here are the upcoming IPO's for this week:

(CLICK HERE FOR THE CHART!)

Friday's Stock Analyst Upgrades & Downgrades:

(CLICK HERE FOR THE CHART LINK #1!)
(CLICK HERE FOR THE CHART LINK #2!)
(CLICK HERE FOR THE CHART LINK #3!)

Election Charts You Need To See: Part 1

First off, our thoughts go out to everyone who was impacted by the tragic events of September 11, 2001—19 years ago today. It is a day to reflect and remember those who were lost.
One of the top requests we’ve had here at LPL Research is for more charts on the election. Over the next week, we will share some of our favorite charts on this very important subject.
Here’s how the S&P 500 Index performs under various presidents and congressional makeups. The best scenario has historically been a Democratic president and Republican Congress, while a Republican president and Democratic Congress has been the weakest.
(CLICK HERE FOR THE CHART!)
Building on this, a split Congress historically has been one of the best scenarios for investors.
(CLICK HERE FOR THE CHART!)
The best scenario under a Republican president is a split Congress, a potential positive for 2020 that has played out after the massive reversal in the stock market since March.
(CLICK HERE FOR THE CHART!)
Looking at the four-year presidential cycle shows that stocks haven’t been down during a year the president was up for a re-election since FDR in the 1940s, another bullish tailwind for 2020.
(CLICK HERE FOR THE CHART!)
Here’s another look at this, as stocks historically have done much better when there isn’t a lame duck president.
(CLICK HERE FOR THE CHART!)

Active Managers Do an About Face

The National Association of Active Investment Managers (NAAIM) has an index which tracks the exposure of its members to US equity markets. Each week, members are asked to provide a number that represents their exposure to markets. A reading of -200 means they are leveraged short, -100 indicates fully short, 0 is neutral, 100% is fully invested, and 200% indicates leveraged long. Two weeks ago, in our Bespoke Report, we highlighted the fact that the exposure index had moved to one of the highest levels in its 15-year history. Now, just two weeks later, these same active managers have reigned in their exposure considerably as this week's reading dropped from just under 100 to 53.1.
This week's drop was the second-largest one week decline in the index's history and just the 10th time that the index lost more than a third (33 points) in a single week. The most recent occurrence was back in early March in the middle of the Covid crash, and every other prior period where the index saw a similar drop, the S&P 500 was also down every time by an average of 2.3%. Therefore, it's not much of a surprise to see the big drop this week given the big declines in the market. But what about going forward? Do big drops in the NAAIM Index mean a bounce back for markets or further declines?
(CLICK HERE FOR THE CHART!)

The Most and Least Heavily Shorted Stocks in the Russell 1,000

Below is an updated look at the most heavily shorted stocks in the Russell 1,000. Each of these 30 stocks has at least 15% of its equity float sold short.
At the top of the list is Nordstrom (JWN) with 38.66% of its float sold short. With a YTD decline of 61.86%, the shorts have crushed it with JWN this year.
With its huge portfolio of office and retail real estate, Brookfield Property REIT(BPYU) has the second highest short interest in the Russell 1,000 at 33.7%. BPYU is down 35.7% YTD.
There are plenty of other well-known companies on the list of the most heavily shorted stocks. Examples include American Airlines (AAL), Virgin Galactic (SPCE), LendingTree (TREE), Wayfair (W), Dick's Sporting Goods (DKS), ADT, TripAdvisor (TRIP), Beyond Meat (BYND), and Kohl's (KSS).
One name that is no longer on the list of most shorted stocks is Tesla (TSLA). When we provided an update on short interest back in February (a pre-COVID world), Tesla (TSLA) had more than 17% of its float sold short, but that number is all the way down to 8.3% as of the most recent filing.
These 30 stocks with the highest short interest are down an average of 3.01% since last Wednesday (9/2) when the S&P 500 made its last closing high. That's actually a little bit better than the 3.55% average decline for the rest of the stocks in the Russell 1,000. And year-to-date, these 30 stocks are up an average of 0.60% versus an average gain of 0.81% for the rest of the index. That's not much of a difference!
(CLICK HERE FOR THE CHART!)
Below is a list of the 30 least shorted stocks in the Russell 1,000 as a percentage of equity float. None of these stocks have more than 0.71% of their float sold short, and they're mostly made up of more conservative names in the Health Care and Consumer Staples sectors.
Johnson & Johnson (JNJ) has the lowest short interest as a percentage of float in the Russell 1,000 at just 0.36%. Microsoft (MSFT) -- one of the key mega-cap Tech names -- has the second lowest short interest, followed by Merck (MRK), Eli Lilly (LLY), and Medtronic (MDT).
Somewhat surprisingly, Amazon (AMZN) is the sixth least shorted stock in the entire Russell 1,000. While AMZN is still thought of as a high-flying momentum name by many investors, its short interest levels tell a much different story, painting it as more of a non-cyclical stock like Pepsi (PEP), Procter & Gamble (PG), or Coca- Cola (KO).
While the 30 most heavily shorted stocks in the Russell 1,000 are up 0.60% YTD, the 30 least shorted stocks in the index are up much more at +8%. This group has MSFT, AMZN, HD, and AAPL to thank for that strong performance!
(CLICK HERE FOR THE CHART!)

5 Lessons Learned About Rising Rates

While the direction of the 10-year Treasury yield over the last cycle was decidedly lower, as shown in LPL’s Chart of the Day, there were still six extended periods where it rose at least 0.75%, and in two of those it rose almost 2%. Looking ahead, economic growth below potential, slack in the labor market, and an extremely supportive Federal Reserve (Fed) may limit rate pressure in the near term, but with interest rates already low and massive stimulus in place, we believe the overall direction is likely to be higher.
“Even in a falling rate period there are lessons from the last cycle about rising rates,” said LPL Financial Chief Investment Officer Burt White. “Among them: Careful when the Fed stops buying and sometimes the best defense is a good offense.”
(CLICK HERE FOR THE CHART!)
While every economic cycle is unique, the last cycle highlighted these key takeaways about periods of rising rates:
  • Careful when the Fed stops buying. The two drivers of rising rates last cycle were economic growth and Fed bond purchases, also known as quantitative easing (QE). The Fed buys bonds to keep rates down, but the start of Fed buying has actually been the time when rates rise—likely on expectations that the purchases would help strengthen the economy. These periods also often followed large rate declines either because markets anticipated the start of Fed buying or the economy was faltering. The takeaway: unless the economy is really taking off, any rising-rate period may pause for an extended period, or even reverse, when the Fed backs off bond purchases.
  • Sometime the best defense is a good offense. Lower-quality, more economically sensitive bond sectors actually performed well during periods of rising rates during the last cycle. Rate gains were largely driven by economic improvement rather than a large pick-up in inflation, and that’s typically a good environment for sectors like high-yield bonds and bank loans. The downside is that these are much riskier bond sectors and don’t provide the potential diversification benefits of higher-quality bonds during periods of stock declines.
  • Don’t expect TIPS to provide much resilience because of their inflation adjustment. Treasury Inflation-Protected Securities (TIPS) are high-quality bonds that have provided a little extra insulation against rising rates compared to similarly dated Treasuries when inflation expectations increased. TIPS prices are adjusted for inflation, but even with the adjustment, they are still very sensitive to rates.
  • Investment-grade corporates can both hurt and help. If credit spreads narrow when rates are rising, investment-grade corporates can post some solid gains in a rising-rate environment, but if spreads are holding steady or even widening, they can be very sensitive to changes in Treasury yields, potentially (although not often) even more sensitive than Treasuries.
  • Mortgage-backed securities (MBS) have not provided as much insulation as corporates, but they also have had less downside. While MBS have certainly outperformed Treasuries during periods of rising rates, they have not performed as well as investment-grade corporates. But they also have come with less downside, losing only 1.4% in their worst performing period compared to a 4% loss during the worst period for corporates. With the Fed still providing strong stimulus and economic growth potentially poised to accelerate, we currently see an increased risk of rates moving higher. We are playing some offense with our equity exposure, which allows us to emphasize a focus on higher-quality bonds. Among bond sectors, we are emphasizing MBS and still prefer investment-grade corporates over Treasuries. History may not repeat, but if it rhymes, this positioning may help add resilience to a fixed income portfolio if rates extend their move off recent lows.
With the Fed still providing strong stimulus and economic growth potentially poised to accelerate, we currently see an increased risk of rates moving higher. We are playing some offense with our equity exposure, which allows us to emphasize a focus on higher-quality bonds. Among bond sectors, we are emphasizing MBS and still prefer investment-grade corporates over Treasuries. History may not repeat, but if it rhymes, this positioning may help add resilience to a fixed income portfolio if rates extend their move off recent lows.

Best and Worst Performing Stocks Since the 9/2 High

Since the S&P 500 and Nasdaq peaked on September 2nd, we've seen rotation out of the post-COVID winners and rotation into laggards in the value space. Below we take a look at the best and worst performing stocks in the Russell 1,000 since the 9/2 high for the S&P. For each stock, we also include its YTD total return and its percentage change from the 3/23 COVID Crash low through 9/2.
Capri Holdings (CPRI) is up more than any other stock in the Russell 1,000 since 9/2 with a gain of 17.43%. Even after the recent gains, however, Capri -- the holding company for brands like Michael Kors, Jimmy Choo, and Versace -- is still down 52.9% year-to-date.
Only four other stocks are up more than 10% since 9/2 -- Beyond Meat (BYND), PVH, Virtu Financial (VIRT), and Reinsurance Group (RGA). Interestingly, BYND and VIRT are also up big (~80%) year-to-date, while PVH and RGA are both down more than 35% year-to-date.
What stands out the most about the list of winners is that only one Technology stock made the cut -- Sabre (SABR). Most names come from the two consumer sectors including cruise-liners like Carnival (CCL), Royal Caribbean (RCL) and Norwegian Cruise (NCLH), Kohl's (KSS), Williams-Sonoma (WSM), Six Flags (SIX), Foot Locker (FL), and Ralph Lauren (RL). Both UBER and LYFT also made the cut with gains of 6% since 9/2. The 30 biggest winners since 9/2 are still down an average of 20% year-to-date, while the rest of the stocks in the Russell 1,000 are up an average of 1.46% YTD.
(CLICK HERE FOR THE CHART!)
While only one Technology stock made the list of biggest winners since 9/2, the sector accounts for two-thirds of the 30 biggest losers over the same time frame. As shown below, since 9/2, the six worst performing stocks in the Russell 1,000 and ten of the worst twelve all come from Tech. Notably, though, these 30 stocks that have all fallen more than 12% since 9/2 are still up an average of 5.6% YTD. Were it not for the horrid YTD performance of the Energy stocks that made the list, the average YTD gain would be even higher.
(CLICK HERE FOR THE CHART!)

Typical Early September Weakness Recovers Mid-Month Sells Off Month-End

As of yesterday’s close the market was down more than the historical average performance in September. DJIA was down nearly -3.3%, S&P 500 was down -4.8%, NASDAQ was off 7.9%, Russell 1000 was down -5.2% and Russell 2000 lost 3.7%. Today’s rally looks like the beginning of a textbook mid-month recovery rally However, the second half of September has historically been weaker than the first half. The week after options expiration week can be treacherous with S&P 500 logging 23 weekly losses in 30 years since 1990. End-of-quarter portfolio restructuring, and window dressing can amplify the impacts of any negative headlines.
(CLICK HERE FOR THE CHART!)

STOCK MARKET VIDEO: Stock Market Analysis Video for Week Ending September 11th, 2020

(CLICK HERE FOR THE YOUTUBE VIDEO!)

STOCK MARKET VIDEO: ShadowTrader Video Weekly 9.13.20

([CLICK HERE FOR THE YOUTUBE VIDEO!]())
(VIDEO NOT YET POSTED!)
Here are the most notable companies (tickers) reporting earnings in this upcoming trading week ahead-
  • $FDX
  • $ADBE
  • $CBRL
  • $ASPU
  • $LEN
  • $DAVA
  • $BRC
  • $CMD
  • $ISR
  • $APOG
  • $ICMB
  • $HMY
  • $VNCE
  • $CSBR
  • $EARS
  • $AFIB
  • $OSH
(CLICK HERE FOR NEXT WEEK'S MOST NOTABLE EARNINGS RELEASES!)
(CLICK HERE FOR NEXT WEEK'S HIGHEST VOLATILITY EARNINGS RELEASES!)
Below are some of the notable companies coming out with earnings releases this upcoming trading week ahead which includes the date/time of release & consensus estimates courtesy of Earnings Whispers:

Monday 9.14.20 Before Market Open:

([CLICK HERE FOR MONDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Monday 9.14.20 After Market Close:

(CLICK HERE FOR MONDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 9.15.20 Before Market Open:

(CLICK HERE FOR TUESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Tuesday 9.15.20 After Market Close:

(CLICK HERE FOR TUESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 9.16.20 Before Market Open:

(CLICK HERE FOR WEDNESDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Wednesday 9.16.20 After Market Close:

([CLICK HERE FOR WEDNESDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Thursday 9.17.20 Before Market Open:

(CLICK HERE FOR THURSDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!)

Thursday 9.17.20 After Market Close:

([CLICK HERE FOR THURSDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Friday 9.18.20 Before Market Open:

([CLICK HERE FOR FRIDAY'S PRE-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

Friday 9.18.20 After Market Close:

([CLICK HERE FOR FRIDAY'S AFTER-MARKET EARNINGS TIME & ESTIMATES!]())
(NONE.)

FedEx Corp. $232.79

FedEx Corp. (FDX) is confirmed to report earnings at approximately 4:00 PM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $2.54 per share on revenue of $17.46 billion and the Earnings Whisper ® number is $2.78 per share. Investor sentiment going into the company's earnings release has 78% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 16.72% with revenue increasing by 2.42%. Short interest has decreased by 15.4% since the company's last earnings release while the stock has drifted higher by 46.5% from its open following the earnings release to be 54.3% above its 200 day moving average of $150.90. Overall earnings estimates have been revised higher since the company's last earnings release. On Friday, August 28, 2020 there was some notable buying of 3,504 contracts of the $250.00 call expiring on Friday, September 18, 2020. Option traders are pricing in a 10.7% move on earnings and the stock has averaged a 7.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Adobe Inc. $471.35

Adobe Inc. (ADBE) is confirmed to report earnings at approximately 4:05 PM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $2.41 per share on revenue of $3.15 billion and the Earnings Whisper ® number is $2.47 per share. Investor sentiment going into the company's earnings release has 76% expecting an earnings beat The company's guidance was for earnings of approximately $2.40 per share. Consensus estimates are for year-over-year earnings growth of 12.62% with revenue increasing by 11.15%. Short interest has decreased by 14.1% since the company's last earnings release while the stock has drifted higher by 15.2% from its open following the earnings release to be 25.2% above its 200 day moving average of $376.45. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, August 27, 2020 there was some notable buying of 18,006 contracts of the $455.00 put expiring on Friday, September 25, 2020. Option traders are pricing in a 12.5% move on earnings and the stock has averaged a 6.2% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Cracker Barrel Old Country Store, Inc. $136.79

Cracker Barrel Old Country Store, Inc. (CBRL) is confirmed to report earnings at approximately 8:00 AM ET on Tuesday, September 15, 2020. The consensus estimate is for a loss of $0.55 per share on revenue of $483.68 million and the Earnings Whisper ® number is ($0.49) per share. Investor sentiment going into the company's earnings release has 28% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 120.37% with revenue decreasing by 38.55%. Short interest has decreased by 2.1% since the company's last earnings release while the stock has drifted higher by 30.0% from its open following the earnings release to be 12.5% above its 200 day moving average of $121.64. Overall earnings estimates have been revised higher since the company's last earnings release. On Thursday, August 27, 2020 there was some notable buying of 1,012 contracts of the $190.00 call expiring on Friday, January 15, 2021. Option traders are pricing in a 10.6% move on earnings and the stock has averaged a 2.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Aspen Group, Inc. $11.54

Aspen Group, Inc. (ASPU) is confirmed to report earnings at approximately 4:00 PM ET on Monday, September 14, 2020. The consensus estimate is for a loss of $0.04 per share on revenue of $14.26 million and the Earnings Whisper ® number is ($0.03) per share. Investor sentiment going into the company's earnings release has 49% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 63.64% with revenue increasing by 37.67%. Short interest has increased by 56.8% since the company's last earnings release while the stock has drifted higher by 16.0% from its open following the earnings release to be 32.3% above its 200 day moving average of $8.72. The stock has averaged a 11.1% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Lennar Corp. $77.48

Lennar Corp. (LEN) is confirmed to report earnings at approximately 4:35 PM ET on Monday, September 14, 2020. The consensus earnings estimate is $1.51 per share on revenue of $5.33 billion and the Earnings Whisper ® number is $1.67 per share. Investor sentiment going into the company's earnings release has 65% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 5.03% with revenue decreasing by 9.00%. Short interest has decreased by 16.5% since the company's last earnings release while the stock has drifted higher by 20.2% from its open following the earnings release to be 29.6% above its 200 day moving average of $59.78. Overall earnings estimates have been revised higher since the company's last earnings release. Option traders are pricing in a 8.4% move on earnings and the stock has averaged a 2.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Endava $53.03

Endava (DAVA) is confirmed to report earnings at approximately 7:20 AM ET on Tuesday, September 15, 2020. The consensus earnings estimate is $0.19 per share on revenue of $107.96 million and the Earnings Whisper ® number is $0.22 per share. Investor sentiment going into the company's earnings release has 33% expecting an earnings beat The company's guidance was for earnings of $0.18 to $0.20 per share on revenue of $105.00 million to $106.00 million. Consensus estimates are for earnings to decline year-over-year by 26.92% with revenue increasing by 9.61%. Short interest has increased by 56.2% since the company's last earnings release while the stock has drifted higher by 11.1% from its open following the earnings release to be 12.7% above its 200 day moving average of $47.06. Overall earnings estimates have been revised lower since the company's last earnings release. The stock has averaged a 6.7% move on earnings in recent quarters.

(CLICK HERE FOR THE CHART!)

Brady Corp. $45.34

Brady Corp. (BRC) is confirmed to report earnings at approximately 7:00 AM ET on Wednesday, September 16, 2020. The consensus earnings estimate is $0.55 per share on revenue of $260.00 million and the Earnings Whisper ® number is $0.56 per share. Investor sentiment going into the company's earnings release has 31% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 19.12% with revenue decreasing by 11.95%. Short interest has decreased by 37.3% since the company's last earnings release while the stock has drifted higher by 0.6% from its open following the earnings release to be 7.5% below its 200 day moving average of $49.01. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 5.3% move on earnings and the stock has averaged a 2.6% move in recent quarters.

(CLICK HERE FOR THE CHART!)

Cantel Medical Corp. $49.12

Cantel Medical Corp. (CMD) is confirmed to report earnings at approximately 7:00 AM ET on Thursday, September 17, 2020. The consensus earnings estimate is $0.08 per share on revenue of $232.80 million and the Earnings Whisper ® number is $0.09 per share. Investor sentiment going into the company's earnings release has 39% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 87.30% with revenue decreasing by 2.79%. Short interest has decreased by 19.9% since the company's last earnings release while the stock has drifted higher by 4.5% from its open following the earnings release to be 3.7% below its 200 day moving average of $51.02. Overall earnings estimates have been revised lower since the company's last earnings release. Option traders are pricing in a 17.8% move on earnings and the stock has averaged a 7.9% move in recent quarters.

(CLICK HERE FOR THE CHART!)

IsoRay Inc $0.63

IsoRay Inc (ISR) is confirmed to report earnings at approximately 4:15 PM ET on Thursday, September 17, 2020. The consensus estimate is for a loss of $0.01 per share on revenue of $2.77 million. Investor sentiment going into the company's earnings release has 25% expecting an earnings beat. Consensus estimates are for year-over-year earnings growth of 50.00% with revenue increasing by 43.97%. Short interest has decreased by 26.8% since the company's last earnings release while the stock has drifted lower by 33.7% from its open following the earnings release to be 6.7% below its 200 day moving average of $0.68. Overall earnings estimates have been unchanged since the company's last earnings release. The stock has averaged a 8.2% move on earnings in recent quarters.

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Apogee Enterprises, Inc. $19.49

Apogee Enterprises, Inc. (APOG) is confirmed to report earnings at approximately 6:30 AM ET on Thursday, September 17, 2020. The consensus earnings estimate is $0.34 per share. Investor sentiment going into the company's earnings release has 19% expecting an earnings beat. Consensus estimates are for earnings to decline year-over-year by 52.78% with revenue increasing by 179.79%. Short interest has decreased by 4.7% since the company's last earnings release while the stock has drifted lower by 7.2% from its open following the earnings release to be 23.9% below its 200 day moving average of $25.63. Option traders are pricing in a 10.1% move on earnings and the stock has averaged a 10.4% move in recent quarters.

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DISCUSS!

What are you all watching for in this upcoming trading week?
I hope you all have a wonderful weekend and a great trading week ahead smallstreetbets.
submitted by bigbear0083 to smallstreetbets [link] [comments]

H1 Backtest of ParallaxFX's BBStoch system

Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are.
TL;DR at the bottom for those not interested in the details.
This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.

Background

For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX!
I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose.
This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem.
I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.

System Details

I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:

And now for the fun. Results!

As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker.
EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.

A Note on Spread

As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits.
Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way).
However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades.
You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term.
Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.

Time of Day

Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either.
On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate.
That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.

Moving stops up to breakeven

This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers.
Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability.
One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)?
Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right?
Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert.
I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall.
The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.

2-Candle vs Confirmation Candle Stops

Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it.
Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL.
Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.

Correlated Trades

As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular.
Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system.
This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here).
Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses.
Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels).
Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant.
One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak.
EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much.
I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system.
This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions.
There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated.
I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful.
Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.

What I will trade

Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
Looking at the data for these rules, test results are:
I'll be sure to let everyone know how it goes!

Other Technical Details

Raw Data

Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.)
I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.

Insanely detailed spreadsheet notes

For you real nerds out there. Here's an explanation of what each column means:

Pairs

  1. AUD/CAD
  2. AUD/CHF
  3. AUD/JPY
  4. AUD/NZD
  5. AUD/USD
  6. CAD/CHF
  7. CAD/JPY
  8. CHF/JPY
  9. EUAUD
  10. EUCAD
  11. EUCHF
  12. EUGBP
  13. EUJPY
  14. EUNZD
  15. EUUSD
  16. GBP/AUD
  17. GBP/CAD
  18. GBP/CHF
  19. GBP/JPY
  20. GBP/NZD
  21. GBP/USD
  22. NZD/CAD
  23. NZD/CHF
  24. NZD/JPY
  25. NZD/USD
  26. USD/CAD
  27. USD/CHF
  28. USD/JPY

TL;DR

Based on the reasonable rules I discovered in this backtest:

Demo Trading Results

Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc).
A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade.
I'm heading out of town next week, then after that it'll be time to take this sucker live!

Live Trading Results

I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
submitted by ForexBorex to Forex [link] [comments]

When will we bottom out?

PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/
PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/
Edit: By popular demand, the too long didn't read is now at the top
TL;DR
SPY 220p 11/20
This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon.
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY).
In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing.
The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors.
Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature
Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market.
According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains.
We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy.
Some important terms to keep in mind:
§ Discrete – terminal points at the extremes of ranges
§ Secondary Discrete – quantified retracement or correction between two discrete
§ Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
§ Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation.
Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached.
§ VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail.
Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form.
A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out.
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding.
Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading.
Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure.
Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price.
Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not.
We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in.
What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19
Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12
Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31
Monthly Lows: 3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1
Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.*
We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram.
7/3/20, 7/27/20, and 11/3/20, 11/27/20 .
How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20.
The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020.
The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking.
Therefore, our timeline looks like:
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons.
I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later.
The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
submitted by aibnsamin1 to wallstreetbets [link] [comments]

eToro: impressions, doubts and (ignored) lessons from copy trading

(no promotional content, no affiliate links)
Hi,
exactly four years ago, I started copying eToro investors / traders that I selected using the broker's built-in search engine (profitable in last two years, already being copied by others), followed by manual filtering, to take into account fluctuations in yearly returns, composition of their portfolios etc. With that, I got a list of 10 people whom I started to copy on a demo account:
https://drive.google.com/file/d/1u52f0XHfr-LauIscKcFDYF0yGTTUr6VY/view?usp=sharing
In the screenshot you can see that in case of the first two of them the amount invested was $10,000, while for the rest it was just $100. This is because I started copying the first two a couple of weeks earlier; eventually I changed this into $100 the same day I made the screenshot and this is when my calculations start - so this thing is irrelevant, I just cannot travel in time to make another screenshot.
What I did after that?
Well, within the next six weeks my profits oscillated between -$11 and +$9.50 (the biggest profit was on Nov 9, a day after US presidential elections). I found this "boring" and discontinued experimenting with copy trading.
Today I looked back at those ten traders. Here is what I found. Firstly, seven of them are not with eToro anymore; investorNo1, Simple-Stock-Mkt, tradingrelax, 4exPirate, primit, Gallojack, xjurokx. The other three traders are:
My observations and thoughts are as follows:
  1. Seven out of ten traders are not with eToro anymore, which makes me wonder why. I have no proof but my guess is they simply performed poorly, lost their copiers and closed their accounts. This is already alarming but what if they opened another account? Or, even worse, multiple accounts? They could be investing small money and try different risky approaches, hoping that at least one account will turn out profitable in the long turn, attracting potential copiers. (I'm not claiming that those 7 particular traders did this, it's just my general suspicion regarding some of eToro traders)
  2. I'm unable to calculate what would be my profit if I never stopped copying them, because I cannot check at what day and with what profit those seven traders left eToro. I'm guessing this would be an immense loss. On the other hand, considering the three traders who are still with eToro, I would lose more than a quarter of my assets!
What now?
I must be a quite adventurous person or at least an incorrigible optimist, because a month ago (exactly on Aug 26th) I started copying three traders with real money. Here is who they are.
rubymza (Heloise Greeff)

OlivierDanvel (Olivier Jean Andre Danvel)

rayvahey (Raymond Noel Vahey)
What was my strategy to hand-pick these particular traders? First I did some basic scanning using eToro's built-in search engine. The most important filter was that the trader was profitable within the last two years: unfortunately, eToro does not allow to reach details of earlier performance automatically. To know how the trader performed before 2019, I had to look at stats in the profile of each of them. I was also taking into account how often they trade (to avoid those who do only a couple of trades yearly), whether they were trading recently and whether they write posts regularly in their feed. With this, I got a list of fifteen candidates to copy:
As you already know, I finally chose three of them. Rubymza seemed to be the most trustworthy stock trader, based on profits, posts feed and regular trading, among other things. Regarding OlivierDanvel, his uniqueness is the ability to record continuous profits with the Forex market. Finally, with rayvahey I wanted to increase my exposure to the commodities market.
Wish me good luck!
Michael

P.S.
You might find those copy-trading related readings interesting:

Disclosures:
submitted by investing-scientist2 to StockMarket [link] [comments]

Trading economic news

The majority of this sub is focused on technical analysis. I regularly ridicule such "tea leaf readers" and advocate for trading based on fundamentals and economic news instead, so I figured I should take the time to write up something on how exactly you can trade economic news releases.
This post is long as balls so I won't be upset if you get bored and go back to your drooping dick patterns or whatever.

How economic news is released

First, it helps to know how economic news is compiled and released. Let's take Initial Jobless Claims, the number of initial claims for unemployment benefits around the United States from Sunday through Saturday. Initial in this context means the first claim for benefits made by an individual during a particular stretch of unemployment. The Initial Jobless Claims figure appears in the Department of Labor's Unemployment Insurance Weekly Claims Report, which compiles information from all of the per-state departments that report to the DOL during the week. A typical number is between 100k and 250k and it can vary quite significantly week-to-week.
The Unemployment Insurance Weekly Claims Report contains data that lags 5 days behind. For example, the Report issued on Thursday March 26th 2020 contained data about the week ending on Saturday March 21st 2020.
In the days leading up to the Report, financial companies will survey economists and run complicated mathematical models to forecast the upcoming Initial Jobless Claims figure. The results of surveyed experts is called the "consensus"; specific companies, experts, and websites will also provide their own forecasts. Different companies will release different consensuses. Usually they are pretty close (within 2-3k), but for last week's record-high Initial Jobless Claims the reported consensuses varied by up to 1M! In other words, there was essentially no consensus.
The Unemployment Insurance Weekly Claims Report is released each Thursday morning at exactly 8:30 AM ET. (On Thanksgiving the Report is released on Wednesday instead.) Media representatives gather at the Frances Perkins Building in Washington DC and are admitted to the "lockup" at 8:00 AM ET. In order to be admitted to the lockup you have to be a credentialed member of a media organization that has signed the DOL lockup agreement. The lockup room is small so there is a limited number of spots.
No phones are allowed. Reporters bring their laptops and connect to a local network; there is a master switch on the wall that prevents/enables Internet connectivity on this network. Once the doors are closed the Unemployment Insurance Weekly Claims Report is distributed, with a heading that announces it is "embargoed" (not to be released) prior to 8:30 AM. Reporters type up their analyses of the report, including extracting key figures like Initial Jobless Claims. They load their write-ups into their companies' software, which prepares to send it out as soon as Internet is enabled. At 8:30 AM the DOL representative in the room flips the wall switch and all of the laptops are connected to the Internet, releasing their write-ups to their companies and on to their companies' partners.
Many of those media companies have externally accessible APIs for distributing news. Media aggregators and squawk services (like RanSquawk and TradeTheNews) subscribe to all of these different APIs and then redistribute the key economic figures from the Report to their own subscribers within one second after Internet is enabled in the DOL lockup.
Some squawk services are text-based while others are audio-based. FinancialJuice.com provides a free audio squawk service; internally they have a paid subscription to a professional squawk service and they simply read out the latest headlines to their own listeners, subsidized by ads on the site. I've been using it for 4 months now and have been pretty happy. It usually lags behind the official release times by 1-2 seconds and occasionally they verbally flub the numbers or stutter and have to repeat, but you can't beat the price!
Important - I’m not affiliated with FinancialJuice and I’m not advocating that you use them over any other squawk. If you use them and they misspeak a number and you lose all your money don’t blame me. If anybody has any other free alternatives please share them!

How the news affects forex markets

Institutional forex traders subscribe to these squawk services and use custom software to consume the emerging data programmatically and then automatically initiate trades based on the perceived change to the fundamentals that the figures represent.
It's important to note that every institution will have "priced in" their own forecasted figures well in advance of an actual news release. Forecasts and consensuses all come out at different times in the days leading up to a news release, so by the time the news drops everybody is really only looking for an unexpected result. You can't really know what any given institution expects the value to be, but unless someone has inside information you can pretty much assume that the market has collectively priced in the experts' consensus. When the news comes out, institutions will trade based on the difference between the actual and their forecast.
Sometimes the news reflects a real change to the fundamentals with an economic effect that will change the demand for a currency, like an interest rate decision. However, in the case of the Initial Jobless Claims figure, which is a backwards-looking metric, trading is really just self-fulfilling speculation that market participants will buy dollars when unemployment is low and sell dollars when unemployment is high. Generally speaking, news that reflects a real economic shift has a bigger effect than news that only matters to speculators.
Massive and extremely fast news-based trades happen within tenths of a second on the ECNs on which institutional traders are participants. Over the next few seconds the resulting price changes trickle down to retail traders. Some economic news, like Non Farm Payroll Employment, has an effect that can last minutes to hours as "slow money" follows behind on the trend created by the "fast money". Other news, like Initial Jobless Claims, has a short impact that trails off within a couple minutes and is subsequently dwarfed by the usual pseudorandom movements in the market.
The bigger the difference between actual and consensus, the bigger the effect on any given currency pair. Since economic news releases generally relate to a single currency, the biggest and most easily predicted effects are seen on pairs where one currency is directly effected and the other is not affected at all. Personally I trade USD/JPY because the time difference between the US and Japan ensures that no news will be coming out of Japan at the same time that economic news is being released in the US.
Before deciding to trade any particular news release you should measure the historical correlation between the release (specifically, the difference between actual and consensus) and the resulting short-term change in the currency pair. Historical data for various news releases (along with historical consensus data) is readily available. You can pay to get it exported into Excel or whatever, or you can scroll through it for free on websites like TradingEconomics.com.
Let's look at two examples: Initial Jobless Claims and Non Farm Payroll Employment (NFP). I collected historical consensuses and actuals for these releases from January 2018 through the present, measured the "surprise" difference for each, and then correlated that to short-term changes in USD/JPY at the time of release using 5 second candles.
I omitted any releases that occurred simultaneously as another major release. For example, occasionally the monthly Initial Jobless Claims comes out at the exact same time as the monthly Balance of Trade figure, which is a more significant economic indicator and can be expected to dwarf the effect of the Unemployment Insurance Weekly Claims Report.
USD/JPY correlation with Initial Jobless Claims (2018 - present)
USD/JPY correlation with Non Farm Payrolls (2018 - present)
The horizontal axes on these charts is the duration (in seconds) after the news release over which correlation was calculated. The vertical axis is the Pearson correlation coefficient: +1 means that the change in USD/JPY over that duration was perfectly linearly correlated to the "surprise" in the releases; -1 means that the change in USD/JPY was perfectly linearly correlated but in the opposite direction, and 0 means that there is no correlation at all.
For Initial Jobless Claims you can see that for the first 30 seconds USD/JPY is strongly negatively correlated with the difference between consensus and actual jobless claims. That is, fewer-than-forecast jobless claims (fewer newly unemployed people than expected) strengthens the dollar and greater-than-forecast jobless claims (more newly unemployed people than expected) weakens the dollar. Correlation then trails off and changes to a moderate/weak positive correlation. I interpret this as algorithms "buying the dip" and vice versa, but I don't know for sure. From this chart it appears that you could profit by opening a trade for 15 seconds (duration with strongest correlation) that is long USD/JPY when Initial Jobless Claims is lower than the consensus and short USD/JPY when Initial Jobless Claims is higher than expected.
The chart for Non Farm Payroll looks very different. Correlation is positive (higher-than-expected payrolls strengthen the dollar and lower-than-expected payrolls weaken the dollar) and peaks at around 45 seconds, then slowly decreases as time goes on. This implies that price changes due to NFP are quite significant relative to background noise and "stick" even as normal fluctuations pick back up.
I wanted to show an example of what the USD/JPY S5 chart looks like when an "uncontested" (no other major simultaneously news release) Initial Jobless Claims and NFP drops, but unfortunately my broker's charts only go back a week. (I can pull historical data going back years through the API but to make it into a pretty chart would be a bit of work.) If anybody can get a 5-second chart of USD/JPY at March 19, 2020, UTC 12:30 and/or at February 7, 2020, UTC 13:30 let me know and I'll add it here.

Backtesting

So without too much effort we determined that (1) USD/JPY is strongly negatively correlated with the Initial Jobless Claims figure for the first 15 seconds after the release of the Unemployment Insurance Weekly Claims Report (when no other major news is being released) and also that (2) USD/JPY is strongly positively correlated with the Non Farms Payroll figure for the first 45 seconds after the release of the Employment Situation report.
Before you can assume you can profit off the news you have to backtest and consider three important parameters.
Entry speed: How quickly can you realistically enter the trade? The correlation performed above was measured from the exact moment the news was released, but realistically if you've got your finger on the trigger and your ear to the squawk it will take a few seconds to hit "Buy" or "Sell" and confirm. If 90% of the price move happens in the first second you're SOL. For back-testing purposes I assume a 5 second delay. In practice I use custom software that opens a trade with one click, and I can reliably enter a trade within 2-3 seconds after the news drops, using the FinancialJuice free squawk.
Minimum surprise: Should you trade every release or can you do better by only trading those with a big enough "surprise" factor? Backtesting will tell you whether being more selective is better long-term or not.
Hold time: The optimal time to hold the trade is not necessarily the same as the time of maximum correlation. That's a good starting point but it's not necessarily the best number. Backtesting each possible hold time will let you find the best one.
The spread: When you're only holding a position open for 30 seconds, the spread will kill you. The correlations performed above used the midpoint price, but in reality you have to buy at the ask and sell at the bid. Brokers aren't stupid and the moment volume on the ECN jumps they will widen the spread for their retail customers. The only way to determine if the news-driven price movements reliably overcome the spread is to backtest.
Stops: Personally I don't use stops, neither take-profit nor stop-loss, since I'm automatically closing the trade after a fixed (and very short) amount of time. Additionally, brokers have a minimum stop distance; the profits from scalping the news are so slim that even the nearest stops they allow will generally not get triggered.
I backtested trading these two news releases (since 2018), using a 5 second entry delay, real historical spreads, and no stops, cycling through different "surprise" thresholds and hold times to find the combination that returns the highest net profit. It's important to maximize net profit, not expected value per trade, so you don't over-optimize and reduce the total number of trades taken to one single profitable trade. If you want to get fancy you can set up a custom metric that combines number of trades, expected value, and drawdown into a single score to be maximized.
For the Initial Jobless Claims figure I found that the best combination is to hold trades open for 25 seconds (that is, open at 5 seconds elapsed and hold until 30 seconds elapsed) and only trade when the difference between consensus and actual is 7k or higher. That leads to 30 trades taken since 2018 and an expected return of... drumroll please... -0.0093 yen per unit per trade.
Yep, that's a loss of approx. $8.63 per lot.
Disappointing right? That's the spread and that's why you have to backtest. Even though the release of the Unemployment Insurance Weekly Claims Report has a strong correlation with movement in USD/JPY, it's simply not something that a retail trader can profit from.
Let's turn to the NFP. There I found that the best combination is to hold trades open for 75 seconds (that is, open at 5 seconds elapsed and hold until 80 seconds elapsed) and trade every single NFP (no minimum "surprise" threshold). That leads to 20 trades taken since 2018 and an expected return of... drumroll please... +0.1306 yen per unit per trade.
That's a profit of approx. $121.25 per lot. Not bad for 75 seconds of work! That's a +6% ROI at 50x leverage.

Make it real

If you want to do this for realsies, you need to run these numbers for all of the major economic news releases. Markit Manufacturing PMI, Factory Orders MoM, Trade Balance, PPI MoM, Export and Import Prices, Michigan Consumer Sentiment, Retail Sales MoM, Industrial Production MoM, you get the idea. You keep a list of all of the releases you want to trade, when they are released, and the ideal hold time and "surprise" threshold. A few minutes before the prescribed release time you open up your broker's software, turn on your squawk, maybe jot a few notes about consensuses and model forecasts, and get your finger on the button. At the moment you hear the release you open the trade in the correct direction, hold it (without looking at the chart!) for the required amount of time, then close it and go on with your day.
Some benefits of trading this way: * Most major economic releases come out at either 8:30 AM ET or 10:00 AM ET, and then you're done for the day. * It's easily backtestable. You can look back at the numbers and see exactly what to expect your return to be. * It's fun! Packing your trading into 30 seconds and knowing that institutions are moving billions of dollars around as fast as they can based on the exact same news you just read is thrilling. * You can wow your friends by saying things like "The St. Louis Fed had some interesting remarks on consumer spending in the latest Beige Book." * No crayons involved.
Some downsides: * It's tricky to be fast enough without writing custom software. Some broker software is very slow and requires multiple dialog boxes before a position is opened, which won't cut it. * The profits are very slim, you're not going to impress your instagram followers to join your expensive trade copying service with your 30-second twice-weekly trades. * Any friends you might wow with your boring-ass economic talking points are themselves the most boring people in the world.
I hope you enjoyed this long as fuck post and you give trading economic news a try!
submitted by thicc_dads_club to Forex [link] [comments]

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